emilien fugier

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Emilien Fugier MACHINE LEARNING ENGINEER AT SANCARE. +33 6 73 30 99 06 | [email protected] | emilienfugier.net | efugier | e-fugier Professional Experience Sancare – Machine learning engineer Paris MACHINE LEARNING AND DATA ENGINEERING - NLP Sep. 2020 - Now • Soſtware architecture and data engineering, refactoring, codebase safety and efficiency improvement. • NLP applied to very specific datasets: medical records in french. Tools : Python, Pytorch, Sklearn, Pandas, PostgreSQL Sancare – Machine learning engineer intern Paris MACHINE LEARNING AND DATA ENGINEERING - NLP Feb. 2020 - Jun. 2020, 6 months • Working remotely during the lockdown, replaced colleagues in partial unemployment on key tasks. • Integration of a near state of the art model (BERT) within existing pipelines for production use. • Explain the predictions. Tools : Python, Pytorch, Sklearn, Pandas, PostgreSQL Ministère des armées – Temporary employee Paris CONCEPTION AND DEVELOPMENT - MACHINE LEARNING Summer 2019, 2 months • Natural Language Processing: turn a document or a corpus into a (visual) network graph for exploration purposes. • Prototyping then integrating in a very restrictive environment. Tools: Java, Javascript, Python, Elasticsearch Deezer & UTC – Part time research Compiègne RECOMMENDER SYSTEMS - MACHINE LEARNING - COLLABORATIVE FILTERING Spring semester 2019 • Review of the state of the art for collaborative filtering: research paper assessment and implementation. • Globally handle local communities: new models. Tools: Python, Pytorch Deezer – Soſtware and data engineer intern, recommendation team Paris MICRO-SERVICES - BIG DATA - BACKEND - TEST DRIVEN DEVELOPMENT - LARGE CODEBASE Aug. 2018 - Feb. 2019, 6 months Worked as an additional member in the team towards various goals on production code. • Brought recommendation data to production and reduced the length of later deployment cycles by factorizing code. • Helped secure the big-data job pipelines by working on a new architecture raising early compile-time error. • Acquisition of recommendation-related knowledge while interacting with the data-scientists. Tools: Scala, Php, Python, Spark, Cassandra, Hadoop, Docker, Kubernetes, Jenkins… Education Université de Technologie de Compiègne – Master’s degree Compiègne MACHINE LEARNING AND OPTIMISATION OF COMPLEX SYSTEMS 2019 - 2020 Learning, optimisation and decision theories. Followed in parallel of my engineering diploma. Université de Technologie de Compiègne – Engineering diploma Compiègne ENGINEERING - COMPUTER & DATA SCIENCES 2017 - 2020 General engineering, specialization in computer science, statistics and decision making branch. GPA: 5.0/5.0 Label: Mathematical modeling Minor: Philosophy, technology and cognition Lycée Champollion – Classes préparatoires aux grandes écoles Grenoble MPSI - MP* 2015 - 2017 Theoretical Mathematics, Physics and Computer Science. École des Pupilles de l’Air – Baccalauréat scientifique spécialité mathématiques Grenoble MENTION TRÈS BIEN – HIGHEST HONOURS 2015 Skills General Machine learning, Soſtware engineering, Full-stack web development, NLP, Recommender systems, Distributed systems Languages Rust, Python, Scala, Javascript, Java, C++, Go, Php, C, R, Ocaml, L A T E X. Technologies Git, Docker, Pytorch, Spark, Elasticsearch, Cassandra, SQL, Neo4j, D3js, React, Gephi… Idioms French – Native, English – Fluent AUGUST 31, 2021 EMILIEN FUGIER · RÉSUMÉ 1

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Emilien FugierMACHINE LEARNING ENGINEER AT SANCARE.

+33 6 73 30 99 06 | [email protected] | emilienfugier.net | efugier | e-fugier

Professional ExperienceSancare – Machine learning engineer Paris

MACHINE LEARNING AND DATA ENGINEERING - NLP Sep. 2020 - Now

• Software architecture and data engineering, refactoring, codebase safety and efficiency improvement.• NLP applied to very specific datasets: medical records in french.

Tools : Python, Pytorch, Sklearn, Pandas, PostgreSQL

Sancare – Machine learning engineer intern Paris

MACHINE LEARNING AND DATA ENGINEERING - NLP Feb. 2020 - Jun. 2020, 6 months

• Working remotely during the lockdown, replaced colleagues in partial unemployment on key tasks.• Integration of a near state of the art model (BERT) within existing pipelines for production use. • Explain the predictions.

Tools : Python, Pytorch, Sklearn, Pandas, PostgreSQL

Ministère des armées – Temporary employee Paris

CONCEPTION AND DEVELOPMENT - MACHINE LEARNING Summer 2019, 2 months

• Natural Language Processing: turn a document or a corpus into a (visual) network graph for exploration purposes.• Prototyping then integrating in a very restrictive environment.

Tools: Java, Javascript, Python, Elasticsearch

Deezer & UTC – Part time research Compiègne

RECOMMENDER SYSTEMS - MACHINE LEARNING - COLLABORATIVE FILTERING Spring semester 2019

• Review of the state of the art for collaborative filtering: research paper assessment and implementation.• Globally handle local communities: newmodels.

Tools: Python, Pytorch

Deezer – Software and data engineer intern, recommendation team Paris

MICRO-SERVICES - BIG DATA - BACKEND - TEST DRIVEN DEVELOPMENT - LARGE CODEBASE Aug. 2018 - Feb. 2019, 6 months

Worked as an additional member in the team towards various goals on production code.• Brought recommendation data to production and reduced the length of later deployment cycles by factorizing code.• Helped secure the big-data job pipelines by working on a new architecture raising early compile-time error.• Acquisition of recommendation-related knowledge while interacting with the data-scientists.

Tools: Scala, Php, Python, Spark, Cassandra, Hadoop, Docker, Kubernetes, Jenkins…

EducationUniversité de Technologie de Compiègne – Master’s degree Compiègne

MACHINE LEARNING AND OPTIMISATION OF COMPLEX SYSTEMS 2019 - 2020

Learning, optimisation and decision theories. Followed in parallel of my engineering diploma.

Université de Technologie de Compiègne – Engineering diploma Compiègne

ENGINEERING - COMPUTER & DATA SCIENCES 2017 - 2020

General engineering, specialization in computer science, statistics and decision making branch.• GPA: 5.0/5.0 • Label: Mathematical modeling • Minor: Philosophy, technology and cognition

Lycée Champollion – Classes préparatoires aux grandes écoles Grenoble

MPSI - MP* 2015 - 2017

Theoretical Mathematics, Physics and Computer Science.

École des Pupilles de l’Air – Baccalauréat scientifique spécialité mathématiques Grenoble

MENTION TRÈS BIEN – HIGHEST HONOURS 2015

SkillsGeneral Machine learning, Software engineering, Full-stack web development, NLP, Recommender systems, Distributed systems

Languages Rust, Python, Scala, Javascript, Java, C++, Go, Php, C, R, Ocaml, LATEX.Technologies Git, Docker, Pytorch, Spark, Elasticsearch, Cassandra, SQL, Neo4j, D3js, React, Gephi…

Idioms French – Native, English – Fluent

AUGUST 31, 2021 EMILIEN FUGIER · RÉSUMÉ 1

MiscellaneousAssociation Dataventure, promotes datascience and AI. Helped organising conferences, speaker in talks and workshops.

Events• Various CodinGame contests • Google Hash Code 2018 and 2019• Hackathon UTC 2017 and 2018 – special mention of the jury and second place.

Projects• Project team (26 people) director • Room-mapping robot swarm • Blockchain state of the art review• Data visualization • Genetic-algorithm-powered neural networks • Visit my website to find out more!

Hobbies• Trying to quench my curiosity by trying new things and crafting stuff with them • Competitive programming• Boxing • Warhammer • Gaming in general, either outside, on PC or on tabletop

AUGUST 31, 2021 EMILIEN FUGIER · RÉSUMÉ 2